MCP server

New AI trends focus on Agentic AI, an artificial intelligence system that can accomplish a specific goal with limited supervision. Agents can act autonomously to understand, plan, and execute a specific task.

To address the integration problem, the Model Context Protocol (MCP) emerges as a popular standard for connecting AI applications to external tools.

Docling MCP

Docling supports the development of AI agents by providing an MCP Server. It allows you to experiment with document processing in different MCP Clients. Adding Docling MCP in your favorite client is usually as simple as adding the following entry in the configuration file:

{
  "mcpServers": {
    "docling": {
      "command": "uvx",
      "args": [
        "--from=docling-mcp",
        "docling-mcp-server"
      ]
    }
  }
}

When using Claude on your desktop, just edit the config file claude_desktop_config.json with the snippet above or the example provided here.

In LM Studio, edit the mcp.json file with the appropriate section or simply clik on the button below for a direct install.

Docling MCP also provides tools specific for some applications and frameworks. See the Docling MCP Server repository for more details. You will find examples of building agents powered by Docling capabilities and leveraging frameworks like LlamaIndex, Llama Stack, Pydantic AI, or smolagents.